ICAISC’08 Competition

 

 

The challenge is part of the ICAISC’08, Zakopane June 22-26, 2008. A post-challenge workshop will be held at the conference. An award certificate and a prize of $1000 will be awarded to the winner of the competition. The task to predict the results of a regression problem.

 

 

Conditions of participation

Everyone is welcomed to participate. The obtained results should be submitted according to the instructions that will be given at the Conference web page (Competition). The results should contain the test set with the columns containing the predicted values added in the same order as in the training set and the description of the method used for prediction.

 

Problem description

 

The metallurgical process that stands behind the regression problem consists of two stages. At the first stage an electric arc furnace (EAF) heats steel scrap with an electric arc. Once the temperature and chemistry are roughly correct (eaf_ variables in the competition dataset), the steel is tapped out into a preheated ladle arc furnace (LHF). Some steps have to be taken to reduce the oxygen content (deoxidize) of the steel. It is done before the start of the secondary process by putting some deoxidizers either into the ladle or to the stream of liquid steel while pouring into the ladle. Aluminum, silicon and manganese are the most common deoxidizers used in steelmaking. Therefore during the tapping some elements are added into the metal stream (cast_ variables), others are placed on the bottom (btm_ variables) of the ladle.

 

Rest of the attached datasets describes the secondary steelmaking process (LHF), which is a step of the steel production process between the primary processes (EAF) and casting (the final process, which is not included in the dataset). During the secondary steelmaking process other elements are added in order to fine-tune the composition of the steel to meet the specification and the customer’s requirements. The steel composition (chemical analysis), time and temperature before the start of the secondary steelmaking are given by eaf_ variables. Then we add some compounds (cast_ variables and btm_ variables) and after that we analyze once again the steel composition (lhf_ variables). According to the analysis we add some alloy additions and after that we finally analyze the steel composition to make sure that the amount of particular elements fit into the limits for a given steel grade (the outcome of the last analysis is not included in the dataset).

 

The task of the competition is to predict the amount of particular elements: C, Si, Mn, P, S, Al, Cr, Mo, V, Cu, Zn (in kg/Mg of steel) that must be added during the LHF process to obtain the steel of desired parameters. Not all the added elements retain fully in the steel, since some portion of them is either burnt out or goes to slag.

 

The training set (dataTrain.*) contains 4997 vectors and the test set (dataTest.*) 4321 vectors comprising production of 68 main categories (codes) of steel. Most of the categories are further split into sub-categories.

 

The relative mean squared L error is used to assess the quality of the model

 – error measure (the task of the system is to minimize the L value over test set)

 –  observed value of variable j (chemical element) in vector i

 – predicted value of variable j (chemical element) in vector i

 - standard deviation of variable j

 

 

Variables

 

Columns 1-2: Input variables (categorical predictors)

 

Code                             the code of the steel   (consider if to use one common model or a separate model
  for each steel code)    

SubCode                       the sub-code of the steel       

 

Columns 3-71: Input variables (continues predictors)

 

eaf_Time                       normalized time of the EAF process

eaf_Celx                       amount of oxygen in the steel (in ppm)  NaN = missing data

eaf_Tmp                        last measurement of temperature in the EAF process

eaf_C                            amount of carbon in steel (in %) in the last analysis of the EAF process

eaf_Mn                         amount of manganese in steel (in %) in the last analysis of the EAF process

eaf_Si                            amount of silicon in steel (in %) in the last analysis of the EAF process

eaf_P                             amount of phosphorus in steel (in %) in the last analysis of the EAF process

eaf_S                             amount of sulfur in steel (in %) in the last analysis of the EAF process

eaf_Cr                           amount of chromium in steel (in %) in the last analysis of the EAF process

eaf_Ni                           amount of nickel in steel (in %) in the last analysis of the EAF process

eaf_Cu                          amount of copper in steel (in %) in the last analysis of the EAF process

eaf_Mo                         amount of molybdenum in steel (in %) in the last analysis of the EAF process

eaf_Al                           amount of aluminum in steel (in %) in the last analysis of the EAF process

eaf_V                            amount of vanadium in steel (in %) in the last analysis of the EAF process

eaf_Sn                           amount of tin in steel (in %) in the last analysis of the EAF process

eaf_As                          amount of arsenic in steel (in %) in the last analysis of the EAF process

eaf_Ca                          amount of calcium in steel (in %) in the last analysis of the EAF process

eaf_N2                          amount of nitrogen in steel (in %) in the last analysis of the EAF process

eaf_Cq                          coefficient

eaf_A1                          coefficient

eaf_Nb                          amount of  in niobium steel (in %) in the last analysis of the EAF process

eaf_Co                          amount of  in cobalt steel (in %) in the last analysis of the EAF process

eaf_B                            amount of boron in steel (in %) in the last analysis of the EAF process

eaf_Pb                           amount of lead  in steel (in %) in the last analysis of the EAF process

eaf_Zr                           amount of zirconium in steel (in %) in the last analysis of the EAF process

eaf_Zn                          amount of zinc in steel (in %) in the last analysis of the EAF process

eaf_Sb                           amount of antimony in steel (in %) in the last analysis of the EAF process

lhf_Time                       normalized time of the LHF process

lhf_Tmp                        normalized temperature of the LHF process

lhf_C                             amount of carbon in steel (in %) in the first analysis of the LHF process

lhf_Mn                          amount manganese of  in steel (in %) in the first analysis of the LHF process

lhf_Si                            amount of silicon in steel (in %) in the first analysis of the LHF process

lhf_P                             amount of phosphorus in steel (in %) in the first analysis of the LHF process

lhf_S                             amount of sulfur in steel (in %) in the first analysis of the LHF process

lhf_Cr                           amount of chromium  in steel (in %) in the first analysis of the LHF process

lhf_Ni                           amount of  nickel in steel (in %) in the first analysis of the LHF process

lhf_Cu                           amount of  copper in steel (in %) in the first analysis of the LHF process

lhf_Mo                          amount of molybdenum in steel (in %) in the first analysis of the LHF process 

lhf_Al                           amount of aluminum in steel (in %) in the first analysis of the LHF process

lhf_Ti                            amount of titanium in steel (in %) in the first analysis of the LHF process

lhf_V                            amount of vanadium in steel (in %) in the first analysis of the LHF process

lhf_Sn                           amount of tin in steel (in %) in the first analysis of the LHF process

lhf_As                           amount of arsenic in steel (in %) in the first analysis of the LHF process

lhf_Ca                           amount of calcium in steel (in %) in the first analysis of the LHF process

lhf_N2                          amount of nitrogen in steel (in %) in the first analysis of the LHF process

lhf_Cq                           coefficient

lhf_Al                           coefficient

lhf_Nb                          amount of niobium in steel (in %) in the first analysis of the LHF process

lhf_Co                           amount of cobalt in steel (in %) in the first analysis of the LHF process

lhf_B                             amount of boron in steel (in %) in the first analysis of the LHF process

lhf_Pb                           amount of lead in steel (in %) in the first analysis of the LHF process

lhf_Zr                            amount of zirconium in steel (in %) in the first analysis of the LHF process

lhf_Zn                           amount of zinc in steel (in %) in the first analysis of the LHF process

lhf_Sb                           amount of antimony in steel (in %) in the first analysis of the LHF process

btm_Al                          amount of  aluminum in steel (in %) in the first analysis of the LHF process      

btm_Carb                      amount of  carbon placed onto the bottom of the ladle (in kg/Mg of steel)

btm_FeSi                      amount of  FeSi placed onto the bottom of the ladle (in kg/Mg of steel)

btm_SiC                        amount of  SiC placed onto the bottom of the ladle (in kg/Mg of steel)

btm_Woll                      amount of  wollastonite  placed onto the bottom of the ladle (in kg/Mg of steel)

cast_Carb                      amount of  carbon put into the stream (in kg/Mg of steel)

cast_Baux                     amount of  bauxite put into the stream (in kg/Mg of steel)

cast_CaF2                     amount of  fluorite put into the stream (in kg/Mg of steel)

cast_FeCr                      amount of  FeCr put into the stream (in kg/Mg of steel)

cast_FeMn                    amount of  FeMn put into the stream (in kg/Mg of steel)

cast_FeSi                      amount of  FeSi put into the stream (in kg/Mg of steel)

cast_FeSiMn                 amount of FeSiMn put into the stream (in kg/Mg of steel)

cast_SiC                        amount of  SiC put into the stream (in kg/Mg of steel)

cast_Ca                         amount of  calcium put into the stream (in kg/Mg of steel)

cast_Woll                      amount of  wollastonite put into the stream (in kg/Mg of steel)

 

Columns 72- 82: Output variables (continuous dependents to be predicted)

C                                   amount of carbon added to the LHF process (in kg/Mg of steel)

Si                                   amount of silicon added to the LHF process (in kg/Mg of steel)

Mn                                amount of manganese added to the LHF process (in kg/Mg of steel)

P                                    amount of phosphorus added to the LHF process (in kg/Mg of steel)

S                                    amount of sulfur added to the LHF process (in kg/Mg of steel)

Al                                  amount of aluminum added to the LHF process (in kg/Mg of steel)

Cr                                  amount of chromium added to the LHF process (in kg/Mg of steel)

V                                   amount of vanadium added to the LHF process (in kg/Mg of steel)

Cu                                 amount of copper added to the LHF process (in kg/Mg of steel)

Zn                                 amount of zinc added to the LHF process (in kg/Mg of steel)

Nb                                 amount of niobium added to the LHF process (in kg/Mg of steel)

 

 

NaN = missing data

Datasets

Learning and testing data in csv format (1080 KB)
Learning and testing data in xls (MS Excel) format (3440 KB)

The page for uploading the results is the same as for the conference registration: http://icaiscsystem.icaisc.eu/

Should you have any questions, please email the ICAISC 2008 Organizing Committee ( ICAISCcompetition@kik.pcz.pl ).